Epistemology
Introduction E9F5FC Questions FFFFC0 Software |
Life, Statistics, Biology discovery Understand knowledge and ignorance in terms of the concept of information as relevant in mathematics, computer science and physics.
Information
Tendency towards maximum entropy Constructor theory
Information is what you learn. What you learn grows at the boundary, has the shape of the boundary. A shape can be thought of as being created by integrating over these boundaries as they increase. Gregory Chaitin = Shannon + Turing = Compression-Decompression as understanding. Information capacity is zero if probability is the same for all cases but also if one case is given 100%. Information transmission requires asymmetry. Otherwise you cannot define choice. Probability
Quantum computing
https://en.wikipedia.org/wiki/Koopman%E2%80%93von_Neumann_classical_mechanics https://www.amazon.com/Quantum-Challenge-Foundations-Mechanics-Astronomy/dp/076372470X In what sense are Feynman diagrams relativistic given that they have directions for time and for space? Instead of thinking of speed of light, think of a clock that doesn't tick, so that t=0 always. And this is the case for the quantum harmonic osciallator and for the particle-clocks with no steps |